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» Learning Binary Relations Using Weighted Majority Voting
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ICML
2010
IEEE
14 years 10 months ago
Rectified Linear Units Improve Restricted Boltzmann Machines
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...
Vinod Nair, Geoffrey E. Hinton
SIGIR
2002
ACM
14 years 9 months ago
Study of category score algorithms for k-NN classifier
: This paper analyzes category score algorithms for k-NN classifier found in the literature, including majority voting algorithm (MVA), simple sum algorithm (SSA), etc. MVA and SS...
Huaizhong Kou, Georges Gardarin
ICML
1999
IEEE
15 years 10 months ago
The Alternating Decision Tree Learning Algorithm
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...
Yoav Freund, Llew Mason
ARGMAS
2007
Springer
15 years 3 months ago
An Argumentation-Based Framework for Deliberation in Multi-agent Systems
This paper focuses of the group judgments obtained from a committee of agents that use deliberation. The deliberative process is realized by an argumentation framework called AMAL....
Santiago Ontañón, Enric Plaza
CORR
2011
Springer
212views Education» more  CORR 2011»
14 years 4 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...